{"id":"W6905919730","doi":"10.15468/dl.ksvxuv","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009500879,0.002091846,0.001577117,0.004970681,0.0009972536,0.002611053,0.003016198,0.002158332,0.1315573],"category_scores_gemma":[0.006013093,0.0009175058,0.001216823,0.009761754,0.0004464792,0.002598178,0.002739266,0.002110465,0.2078421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746202,"about_ca_system_score_gemma":0.002438228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02656011,"about_ca_topic_score_gemma":0.04394076,"domain_scores_codex":[0.998892,0.0001416275,0.0001407308,0.0003695868,0.000271025,0.0001849729],"domain_scores_gemma":[0.9974394,0.0006358681,0.0002373218,0.0007194155,0.0006815304,0.0002864296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002811906,0.00001327165,0.0004591217,0.0004581911,0.00001365317,0.00001592076,0.00002539347,0.0001322753,0.0001017055,0.0003786869,0.9968808,0.001492932],"study_design_scores_gemma":[0.00007261415,0.000008561216,0.00212832,0.0001953779,0.00001306491,0.00004361412,0.00008995334,0.0001997001,0.0001984664,0.0007722784,0.9962591,0.00001898827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005570224,0.00003037567,0.00005312606,0.00004270041,0.00001407243,0.000005888373,0.9985831,0.0005150959,0.000700113],"genre_scores_gemma":[0.0001677247,0.00003146584,0.000208199,0.00003799499,0.000003366485,0.00003634116,0.9989262,0.0001453393,0.00044332],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8684427,"threshold_uncertainty_score":0.4401029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}